Papers: 10.1186/s12935-021-02045-0

https://doi.org/10.1186/s12935-021-02045-0

Identification and validation of a novel glycolysis-related gene signature for predicting the prognosis in ovarian cancer

Cited by: 17
Author(s): Jing Yu, Tingting Liu, Leilei Liang, Jing Liu, Hong‐Qing Cai, Jia Zeng, Tiantian Wang, Jian Li, Lin Xiu, Ning Li, Lingying Wu
Published: over 5 years ago

Software Mentions 4

bioconductor: GSVA
Gene Set Variation Analysis for microarray and RNA-seq data
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Very Likely Science (100)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
cran: pheatmap
Pretty Heatmaps
Papers that mentioned: 2,572
Very Likely Science (75)
pypi: GSVA
Python CLI and module for running the GSVA R bioconductor package with Python Pandas inputs and outputs.
Papers that mentioned: 893
Very Likely Science (100)